10547427
8323
Heinrich Peters
15
Supervised Classification
18601
sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,logisticregression=sklearn.linear_model.logistic.LogisticRegression)(2)
8275614
add_indicator
false
12737
copy
true
12737
fill_value
null
12737
missing_values
NaN
12737
strategy
"median"
12737
verbose
0
12737
C
1.0
13106
class_weight
null
13106
dual
false
13106
fit_intercept
true
13106
intercept_scaling
1
13106
l1_ratio
null
13106
max_iter
100
13106
multi_class
"warn"
13106
n_jobs
null
13106
penalty
"l2"
13106
random_state
1
13106
solver
"liblinear"
13106
tol
0.0001
13106
verbose
0
13106
warm_start
false
13106
copy
true
13294
with_mean
true
13294
with_std
true
13294
memory
null
18601
steps
[{"oml-python:serialized_object": "component_reference", "value": {"key": "simpleimputer", "step_name": "simpleimputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "standardscaler", "step_name": "standardscaler"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "logisticregression", "step_name": "logisticregression"}}]
18601
verbose
false
18601
openml-python
Sklearn_0.21.2.
15
breast-w
https://www.openml.org/data/download/52350/openml_phpJNxH0q
-1
22019809
description
https://api.openml.org/data/download/22019809/description.xml
-1
22019810
predictions
https://api.openml.org/data/download/22019810/predictions.arff
area_under_roc_curve
0.9946547319212162 [0.994655,0.994655]
average_cost
0
f_measure
0.9656652360515021 [0.973799,0.950207]
kappa
0.9240065955172225
kb_relative_information_score
0.8953918422213378
mean_absolute_error
0.04976621940684805
mean_prior_absolute_error
0.4519499019385762
weighted_recall
0.9656652360515021 [0.973799,0.950207]
number_of_instances
699 [458,241]
precision
0.9656652360515021 [0.973799,0.950207]
predictive_accuracy
0.9656652360515021
prior_entropy
0.92931856324281
relative_absolute_error
0.11011446001732221
root_mean_prior_squared_error
0.47529612442517866
root_mean_squared_error
0.1610546756135254
root_relative_squared_error
0.3388512283964114
total_cost
0
unweighted_recall
0.9620032977586113 [0.973799,0.950207]
area_under_roc_curve
0.9963768115942029 [0.996377,0.996377]
area_under_roc_curve
0.9873188405797103 [0.987319,0.987319]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
0.9972826086956522 [0.997283,0.997283]
area_under_roc_curve
0.9981884057971013 [0.998188,0.998188]
area_under_roc_curve
0.9882246376811594 [0.988225,0.988225]
area_under_roc_curve
0.9902222222222223 [0.990222,0.990222]
area_under_roc_curve
0.9944444444444446 [0.994444,0.994444]
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
f_measure
0.9569173448377291 [0.967742,0.93617]
f_measure
0.9716825396825397 [0.977778,0.96]
f_measure
0.9711114047839302 [0.978723,0.956522]
f_measure
0.9716825396825397 [0.977778,0.96]
f_measure
0.9856391149459097 [0.989247,0.978723]
f_measure
0.9714285714285714 [0.978261,0.958333]
f_measure
0.9711114047839302 [0.978723,0.956522]
f_measure
0.9573446961202065 [0.967033,0.938776]
f_measure
0.9428571428571428 [0.955556,0.92]
f_measure
0.956721134961068 [0.966292,0.938776]
kappa
0.9039341262580056
kappa
0.9378330373001776
kappa
0.9353049907578558
kappa
0.9378330373001776
kappa
0.9679780420860019
kappa
0.9365942028985507
kappa
0.9353049907578558
kappa
0.9058295964125561
kappa
0.8755555555555555
kappa
0.9050894085281982
kb_relative_information_score
0.8845432896658757
kb_relative_information_score
0.9049723614592864
kb_relative_information_score
0.9216137278948424
kb_relative_information_score
0.9215835594147785
kb_relative_information_score
0.932734230636075
kb_relative_information_score
0.9189369280266306
kb_relative_information_score
0.8789015518876646
kb_relative_information_score
0.8522411275674798
kb_relative_information_score
0.8615292842199426
kb_relative_information_score
0.8771725677748542
mean_absolute_error
0.05459329968842671
mean_absolute_error
0.04566364807960407
mean_absolute_error
0.03645055771574779
mean_absolute_error
0.038137761314557726
mean_absolute_error
0.035281917508108995
mean_absolute_error
0.03848442039766261
mean_absolute_error
0.05870969220082263
mean_absolute_error
0.0672688691555652
mean_absolute_error
0.06536692729894507
mean_absolute_error
0.05782015695979676
mean_prior_absolute_error
0.45135520684736086
mean_prior_absolute_error
0.45135520684736086
mean_prior_absolute_error
0.45135520684736086
mean_prior_absolute_error
0.45135520684736086
mean_prior_absolute_error
0.45135520684736086
mean_prior_absolute_error
0.45135520684736086
mean_prior_absolute_error
0.45135520684736086
mean_prior_absolute_error
0.45135520684736086
mean_prior_absolute_error
0.45577746077032805
mean_prior_absolute_error
0.45289338212491465
number_of_instances
70 [46,24]
number_of_instances
70 [46,24]
number_of_instances
70 [46,24]
number_of_instances
70 [46,24]
number_of_instances
70 [46,24]
number_of_instances
70 [46,24]
number_of_instances
70 [46,24]
number_of_instances
70 [46,24]
number_of_instances
70 [45,25]
number_of_instances
69 [45,24]
precision
0.9571296418659971 [0.957447,0.956522]
precision
0.9736263736263737 [1,0.923077]
precision
0.9726190476190477 [0.958333,1]
precision
0.9736263736263737 [1,0.923077]
precision
0.9860182370820668 [0.978723,1]
precision
0.9714285714285714 [0.978261,0.958333]
precision
0.9726190476190477 [0.958333,1]
precision
0.9579682539682539 [0.977778,0.92]
precision
0.9428571428571428 [0.955556,0.92]
precision
0.9573517786561265 [0.977273,0.92]
predictive_accuracy
0.9571428571428571
predictive_accuracy
0.9714285714285714
predictive_accuracy
0.9714285714285714
predictive_accuracy
0.9714285714285714
predictive_accuracy
0.9857142857142857
predictive_accuracy
0.9714285714285714
predictive_accuracy
0.9714285714285714
predictive_accuracy
0.9571428571428571
predictive_accuracy
0.942857142857143
predictive_accuracy
0.9565217391304348
prior_entropy
0.9275444412731174
prior_entropy
0.9275444412731174
prior_entropy
0.9275444412731174
prior_entropy
0.9275444412731174
prior_entropy
0.9275444412731174
prior_entropy
0.9275444412731174
prior_entropy
0.9275444412731174
prior_entropy
0.9275444412731174
prior_entropy
0.9407371142179634
prior_entropy
0.9321331970800204
relative_absolute_error
0.1209541816737899
relative_absolute_error
0.10117009261631624
relative_absolute_error
0.08075803084304425
relative_absolute_error
0.08449611466973758
relative_absolute_error
0.07816885010488119
relative_absolute_error
0.0852641551793979
relative_absolute_error
0.1300742548444269
relative_absolute_error
0.14903753880547158
relative_absolute_error
0.14341851654635523
relative_absolute_error
0.1276683635528353
root_mean_prior_squared_error
0.47467010734022363
root_mean_prior_squared_error
0.47467010734022363
root_mean_prior_squared_error
0.47467010734022363
root_mean_prior_squared_error
0.47467010734022363
root_mean_prior_squared_error
0.47467010734022363
root_mean_prior_squared_error
0.47467010734022363
root_mean_prior_squared_error
0.47467010734022363
root_mean_prior_squared_error
0.47467010734022363
root_mean_prior_squared_error
0.4793057111336632
root_mean_prior_squared_error
0.4762876085727333
root_mean_squared_error
0.16108196863384228
root_mean_squared_error
0.17241794291625392
root_mean_squared_error
0.14011316104816587
root_mean_squared_error
0.11600555592961365
root_mean_squared_error
0.09980058027336411
root_mean_squared_error
0.14323367366549397
root_mean_squared_error
0.16161230154328612
root_mean_squared_error
0.20132963132332704
root_mean_squared_error
0.19931459633973492
root_mean_squared_error
0.18406711666369077
root_relative_squared_error
0.33935562013047826
root_relative_squared_error
0.36323741531225595
root_relative_squared_error
0.2951800816640401
root_relative_squared_error
0.24439195587782345
root_relative_squared_error
0.21025250743635143
root_relative_squared_error
0.30175414767130065
root_relative_squared_error
0.34047288641972395
root_relative_squared_error
0.4241464297203414
root_relative_squared_error
0.41584022829252787
root_relative_squared_error
0.3864621152233527
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
unweighted_recall
0.947463768115942 [0.978261,0.916667]
unweighted_recall
0.9782608695652174 [0.956522,1]
unweighted_recall
0.9583333333333333 [1,0.916667]
unweighted_recall
0.9782608695652174 [0.956522,1]
unweighted_recall
0.9791666666666667 [1,0.958333]
unweighted_recall
0.9682971014492754 [0.978261,0.958333]
unweighted_recall
0.9583333333333333 [1,0.916667]
unweighted_recall
0.957427536231884 [0.956522,0.958333]
unweighted_recall
0.9377777777777778 [0.955556,0.92]
unweighted_recall
0.9569444444444445 [0.955556,0.958333]
usercpu_time_millis
6.186821032315493
usercpu_time_millis
6.064619054086506
usercpu_time_millis
6.1354649951681495
usercpu_time_millis
6.23544497648254
usercpu_time_millis
5.592519999481738
usercpu_time_millis
5.341196083463728
usercpu_time_millis
5.4472010233439505
usercpu_time_millis
5.385475989896804
usercpu_time_millis
5.300932039972395
usercpu_time_millis
5.313696980010718
usercpu_time_millis_testing
0.6653179880231619
usercpu_time_millis_testing
0.6888710195198655
usercpu_time_millis_testing
0.6599740008823574
usercpu_time_millis_testing
0.6871279911138117
usercpu_time_millis_testing
0.6414270028471947
usercpu_time_millis_testing
0.5877070361748338
usercpu_time_millis_testing
0.5850879824720323
usercpu_time_millis_testing
0.5855560302734375
usercpu_time_millis_testing
0.6765110301785171
usercpu_time_millis_testing
0.5780269857496023
usercpu_time_millis_training
5.521503044292331
usercpu_time_millis_training
5.375748034566641
usercpu_time_millis_training
5.475490994285792
usercpu_time_millis_training
5.548316985368729
usercpu_time_millis_training
4.951092996634543
usercpu_time_millis_training
4.753489047288895
usercpu_time_millis_training
4.862113040871918
usercpu_time_millis_training
4.799919959623367
usercpu_time_millis_training
4.624421009793878
usercpu_time_millis_training
4.735669994261116
wall_clock_time_millis
6.192684173583984
wall_clock_time_millis
6.0787200927734375
wall_clock_time_millis
6.1492919921875
wall_clock_time_millis
6.250858306884766
wall_clock_time_millis
5.602836608886719
wall_clock_time_millis
5.35130500793457
wall_clock_time_millis
5.451440811157227
wall_clock_time_millis
5.393743515014648
wall_clock_time_millis
5.308389663696289
wall_clock_time_millis
5.3234100341796875
wall_clock_time_millis_testing
0.6699562072753906
wall_clock_time_millis_testing
0.69427490234375
wall_clock_time_millis_testing
0.6656646728515625
wall_clock_time_millis_testing
0.6914138793945312
wall_clock_time_millis_testing
0.6470680236816406
wall_clock_time_millis_testing
0.5929470062255859
wall_clock_time_millis_testing
0.58746337890625
wall_clock_time_millis_testing
0.5881786346435547
wall_clock_time_millis_testing
0.6794929504394531
wall_clock_time_millis_testing
0.5812644958496094
wall_clock_time_millis_training
5.522727966308594
wall_clock_time_millis_training
5.3844451904296875
wall_clock_time_millis_training
5.4836273193359375
wall_clock_time_millis_training
5.559444427490234
wall_clock_time_millis_training
4.955768585205078
wall_clock_time_millis_training
4.758358001708984
wall_clock_time_millis_training
4.863977432250977
wall_clock_time_millis_training
4.805564880371094
wall_clock_time_millis_training
4.628896713256836
wall_clock_time_millis_training
4.742145538330078
weighted_recall
0.9571428571428572 [0.978261,0.916667]
weighted_recall
0.9714285714285714 [0.956522,1]
weighted_recall
0.9714285714285714 [1,0.916667]
weighted_recall
0.9714285714285714 [0.956522,1]
weighted_recall
0.9857142857142858 [1,0.958333]
weighted_recall
0.9714285714285714 [0.978261,0.958333]
weighted_recall
0.9714285714285714 [1,0.916667]
weighted_recall
0.9571428571428572 [0.956522,0.958333]
weighted_recall
0.9428571428571428 [0.955556,0.92]
weighted_recall
0.9565217391304348 [0.955556,0.958333]